• 기술혁신연구
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• 제9권1호
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• pp.1-19
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• 2001

Importance of technology evaluation cannot be overemphasized to support the effective investment policy. Most of the technology evaluation relies on either quantitative analysis for the value or qualitative comparison due to some attribute. When qualitative comparison is made, typically not only individual attribute. but also overall score is evaluated by the committee of experts. In this paper, we consider the qualitative evaluation procedure used in a venture incubating center and validate if the relationship between the average score of individual attribute and the overall score is significant. Additionally, we identify if the initially evaluated scores are good indicators for the realized future value of technology. Structural equation modeling approach is used and we expect that our approach can make important contributions on improving the currently used technology evaluation method.

• 품질경영학회지
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• 제35권4호
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• pp.52-60
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• 2007

A multi-attribute robust design methodology is presented. This method can be applied where there are various technical constraints in design variables, multiple potentially conflicting design attributes, and uncontrollable noise variables. Two forms of technical constraints, soft and hard constraints, are considered in robust design settings. Specifically, this work presents procedures for integrating two types of design constraints seamlessly on the multiple design attributes, which is achieved through a development of multi-attribute utility formulation. The effectiveness of the overall procedures is tested with the aid of an I-Beam design problem, and results of sensitivity analysis are discussed.

• Asia pacific journal of information systems
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• 제14권3호
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• pp.77-92
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• 2004

When humans make decisions, they differentiate classifications of individual attribute variables that affect the decisions according to the importance and pattern of each attribute variables. The present study examines the practicality of the proposed Code Arrangement-Based Reasoning(CABR), which resembles the human's way of reasoning. To this end, we developed a CABR technique that classifies each attribute variable affecting significant impacts on the target variable into a cluster and assigns a code to the cluster. For verifying the proposed technique, both case-based reasoning and CABR were used for the customer continuance judgment problem of an automobile insurance company. Results indicated that the performance of CABR is close to the one of the case-based reasoning. The CABR also shows the possibility of using bio-informatics techniques for organizational data analysis in the future.

• 품질경영학회지
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• 제8권2호
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• pp.15-22
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• 1980

This paper deals with the problem of determining a minimum cost sampling inspection plan for a single destructive testing by attribute. The cost for inspection lot is constructed by following three cost factors: (1) cost of inspection, (2) cost of accepted defective, (3) cost of rejected lot Using Hald's Bayesian approach in a single non-destructive testing, procedure's for finding the minimum cost single destructive sampling inspection plan by attribute are given. Assuming the uniform distribution as a prior-distribution and using numerical analysis by computer, a minimum cost single destructive sampling inspection plan by attribute for several lot sizes, unit cost, destructive testing cost, and salvage cost is given.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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• pp.377-380
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• 2005

최근 다양한 분야에서 임베디드 소프트웨어의 비중이 증대함에 따라 품질 요구 사항이 증대 하였지만, 현실적인 개발 일정은 점점 줄어들고 있다. 이에 본 논문에서는 임베디드 소프트웨어의 기민한 속성 주도 설계(Agile Attribute-Driven Design)를 체계적으로 적용하기 위한 '통합 분석 기법'을 정의한다. 그리고 이를 통한 기민한 설계 접근법을 제안한다. '통합 분석 기법'은 임베디드 소프트웨어의 특성을 고려한 기능 분석과 동시에 '품질 속성 시나리오'를 분석할 수 있는 기법으로서 고품질의 아키텍처 구축을 목적으로 한다. 또한 본 논문에서는 개미 로봇 구현 사례를 통해 '통합 분석 기법'을 검증하고 효과를 확인한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.143-146
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• 2004

In a situation that rank order information on attribute weights is captured, two solution approaches are presented. An exact solution approach via interaction with a decision-maker pursues progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights set. In approximate solution approach, on the other hand, three categories of approximate methods such as surrogate weights method, the dominance value-based decision rules, and three classical decision rules are presented and their efficacies in terms of choice accuracy are evaluated via simulation analysis. The simulation results indicate that a method, which combines an exact solution approach through interactions with the decision-maker and the dominance value-based approach is recommendable in a case that a decision is not made at a single step under imprecisely assessed weights information.

• 산업경영시스템학회지
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• 제20권43호
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• pp.321-331
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• 1997

Measurement of attributes is often highly subjective and imprecise, yet most MADM methods lack provisions for handling imprecise data. Frequently, decision makers must establish a ranking within a finite set of alternatives with respect to multiple attributes which have varying degrees of importance. The problem is more complex if the evaluations of alternatives according to each attribute are not expressed in precise numbers, but rather in fuzzy numbers. Analysis must allow for lack of precision and partial truth. The advantages of a fuzzy approach for MADM are that a decision maker can obtain efficient solutions all at once without trial and error, and that this approach provides better support for judging the interactive improvement of solutions in comparison with o decision making method. The algorithm used in this study is based on the concepts of vague set theory. Linguistic variables and vague values are used to facilitate a decision maker's subjective assessment about attribute weightings and the appropriateness of alternative versus selection attributes in order to obtain final scores which are called vague appropriateness indices. A numerical example is presented to show the practical applicability of this approach.

• 한국측량학회지
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• 제20권2호
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• pp.171-181
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• 2002

기 제작된 지하시설물도의 정확도를 분석한 결과 오류 유형을 도형정보의 위치오류와 속성정보의 오류 두 가지로 구분 지을 수 있었으며, 도형정보의 위치오류는 지하시설물의 탐사와 위치측량과정에서, 속성정보의 오류는 자료의 입력과정에서 주로 발생하고 있었다. 본 연구에서는 실험을 통하여 탐사정확도와 위치측량정확도를 향상시킬 수 있는 방안을 제시하였고, 공정개선을 통한 속성오류의 감소방안을 제시하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 A
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• pp.177-179
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• 1993

Best generation mix belongs to a multi attribute decision making, because we should consider many uncertain factors and choose the best one of the alternatives. Sugeno's fuzzy integral has been used as the solution of multi attribute decision making, but the exact value of the coefficient $\lambda$ hat not known yet which is needed to calculate fuzzy measure. This paper proposes the new method to calculate fuzzy measure without fixing the value of $\lambda$. The proposed method considers $\lambda$ as a probability distribution function and calculated expectation of fuzzy measure. The method is applied to the test system and the validity of the method is verified.

• 대한공간정보학회지
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• 제11권4호
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• pp.45-51
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• 2003

본 연구에서는 건물 및 도로 등 각종 시설물에서 상세정보가 누락되거나 수정 및 갱신이 이루어지지 않아 수치지도의 체계적인 구축이 요구되는 지역에 적용할 수 있도록 지상사진영상에 도해법을 적용하여 대상지역의 현황도를 작성하고, 대상지역 시설물에 대한 공간정보와 속성정보를 빠른 시간에 효율적으로 취득할 수 있는 기법을 제시하였다.